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» Mining for Useful Association Rules Using the ATMS
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SDM
2004
SIAM
163views Data Mining» more  SDM 2004»
13 years 8 months ago
Basic Association Rules
Previous approaches for mining association rules generate large sets of association rules. Such sets are difficult for users to understand and manage. Here, the concept of a restri...
Guichong Li, Howard J. Hamilton
ECIR
2010
Springer
13 years 5 months ago
Enriching Peer-to-Peer File Descriptors Using Association Rules on Query Logs
We describe a P2P association rule mining descriptor enrichment approach that statistically significantly increases accuracy by greater than 15% over the non-enriched baseline. Unl...
Nazli Goharian, Ophir Frieder, Wai Gen Yee, Jay Mu...
HICSS
2007
IEEE
176views Biometrics» more  HICSS 2007»
14 years 1 months ago
Mining Fuzzy Weighted Association Rules
The paper combines and extends the technologies of fuzzy sets and association rules, considering users’ differential emphasis on each attribute through fuzzy regions. A fuzzy da...
David L. Olson, Yanhong Li
KDD
2006
ACM
201views Data Mining» more  KDD 2006»
14 years 7 months ago
Polynomial association rules with applications to logistic regression
A new class of associations (polynomial itemsets and polynomial association rules) is presented which allows for discovering nonlinear relationships between numeric attributes wit...
Szymon Jaroszewicz
RSFDGRC
2005
Springer
110views Data Mining» more  RSFDGRC 2005»
14 years 29 days ago
A Rough Set Based Model to Rank the Importance of Association Rules
Abstract. Association rule algorithms often generate an excessive number of rules, many of which are not significant. It is difficult to determine which rules are more useful, int...
Jiye Li, Nick Cercone